Skip to content

Some lines in code are not so clear #3

Open
@samieti02

Description

@samieti02

Hello dear Sir,

and thanks for sharing the code. I have some questions about the code. There are some lines that are not so clear like

num_examples = 1000 # number of examples per image to use for training model

Why do you take just 1000, what does this number represents? Which examples?

What are h_neigh and h_ind ? which role they play here?

h_ind = int((h_neigh - 1)/ 2)
label = label[h_ind:-h_ind, h_ind:-h_ind]

Why do you use patch (11,11)? You can also direct process the whole image?

cal_haralick gives back 13 features. Why do you take just the first 9 and leave the rest?

Why does the border is increased here ?

img = cv2.copyMakeBorder(img, top=border, bottom=border, \
                                  left=border, right=border, \
                                  borderType = cv2.BORDER_CONSTANT, \
                                  value=[0, 0, 0])

Thanks

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions